Fig. 10

Download original image
Number of FRBs needed to detect a given σRM.IGM at two red-shifts (ɀ = 0.5 and ɀ = 2). We consider the IGMF possible to detect if the KS test returns a p-value below 0.05 for 95% of Monte Carlo tests (for details, see Sect. 4.1.2). The data points show the FRB number needed for significant detection for a given σRM.IGM, and the solid line is the reciprocal exponential fit. We also show the number of FRBs needed considering an RM error of 5 and 50 rad m−2 as empty circles and squares, respectively. We indicate the observations of O’Sullivan et al. (2019) and Carretti et al. (2022).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.